15 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at Saint Louis University
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and pre-process clinical datasets (handling missing values, outliers, ICD-10 and CPT code grouping) ⢠Implement advanced data imputation methods (e.g., Gaussian Copula)  Machine Learning and Modeling
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datasets (handling missing values, outliers, ICD-10 and CPT code grouping) • Implement advanced data imputation methods (e.g., Gaussian Copula) Machine Learning and Modeling • Develop and evaluate
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novel statistical methods to address complex biomedical and public health problems. Collaborate with clinical and scientific investigators to refine research questions and ensure the appropriate use
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acquisition and data analysis methods for users i) Troubleshoot equipment failures, procure repair parts, implement repairs, supervise field service, and test equipment for proper function after repairs j
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using computers Performs other duties as assigned KNOWLEDGE, SKILLS, AND ABILITIES Broad knowledge involving laboratory techniques or other specialized knowledge is desired Knowledge of laboratory
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procedures and results; files and maintains records; codes data for input for electronic data processing; inputs and retrieves data using computers Performs other duties as assigned KNOWLEDGE, SKILLS, AND
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procedures and results; files and maintains records; codes data for input for electronic data processing; inputs and retrieves data using computers Performs other duties as assigned KNOWLEDGE, SKILLS, AND
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in a relevant field (e.g., public health, psychology, psychiatry) with a strong background in quantitative research methods. Experience conducting research in the field of mental health, particularly
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. • Maintains and keeps research records and logs. Compiles, processes and analyses data, inputs and retrieves data using computers. • Follow existing research protocols and assisting in developing new research
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University invites applications for a Postdoctoral Fellow position in the Department of Electrical and Computer Engineering. The successful candidate will work as part of a multidisciplinary team investigating